Abstract
How to automatically and accurately score the examination paper still remains a challenging task, due to different handwriting habits. In this article, a method based on OpenCV has been proposed that can automatically achieve examination paper scores calculation and grades analysis. Instead of turning pages manually, the paper pages are turned automatically by the device we assembled. When automatically turning the page, the high-speed photographic apparatus can capture images of the examination paper. Then the images are read in python and needed to accept a series of digital processing. After this, the location of the numbers can be located and cut. Moreover, the support vector machine (SVM) is used to construct a handwritten digit recognition system to identify the numbers cut from the images. Experimental results on several samples demonstrate the feasibility and superiority of this method in terms of efficiency.
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Zhang, XY., Sun, ZL., Liu, M. (2022). Automatic Examination Paper Scores Calculation and Grades Analysis Based on OpenCV. In: Yu, S., et al. Pattern Recognition and Computer Vision. PRCV 2022. Lecture Notes in Computer Science, vol 13536. Springer, Cham. https://doi.org/10.1007/978-3-031-18913-5_26
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DOI: https://doi.org/10.1007/978-3-031-18913-5_26
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